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Editore: VDM Verlag 5/26/2010, 2010
ISBN 10: 363925516XISBN 13: 9783639255164
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Libro
Paperback or Softback. Condizione: New. Automatic Hyperspectral Data Analysis 0.37. Book.
Editore: VDM Verlag Dr. Müller, 2010
ISBN 10: 363925516XISBN 13: 9783639255164
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Libro
Condizione: New.
Editore: VDM Verlag, 2010
ISBN 10: 363925516XISBN 13: 9783639255164
Da: Ria Christie Collections, Uxbridge, Regno Unito
Libro Print on Demand
Condizione: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Editore: VDM Verlag 2010-05, 2010
ISBN 10: 363925516XISBN 13: 9783639255164
Da: Chiron Media, Wallingford, Regno Unito
Libro
PF. Condizione: New.
Editore: VDM Verlag Dr. Müller, 2010
ISBN 10: 363925516XISBN 13: 9783639255164
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Libro Print on Demand
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Advances in spectroscopy sensors have allowed the acquisition of ever-increasing volumes of data from scenes, either remotely, by air- or space-borne devices, or locally, by hand-held spectrometers or stand-alone cameras. With this boom in the amount of data available has also come a greater need for extracting useful information efficiently and for developing automated methods for novel applications. Traditional approaches to spectral analysis often require a great deal of human effort and prior knowledge, and have difficulty in processing high dimensional data sets provided by new sensors. This book, therefore, provides an alternative approach to select relevant features from hyperspectral data utilizing machine learning to automate the analysis. The methods are developed in the context of two applications: in biomedical imaging and in precision agriculture. The techniques discussed should be useful to graduate students and researchers in computer science and engineering interested in hyperspectral imaging, remote sensing or optimization for high dimensional data. 108 pp. Englisch.
Editore: VDM Verlag Dr. Müller, 2010
ISBN 10: 363925516XISBN 13: 9783639255164
Da: PBShop.store US, Wood Dale, IL, U.S.A.
Libro Print on Demand
PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Editore: VDM Verlag Dr. Müller, 2010
ISBN 10: 363925516XISBN 13: 9783639255164
Da: AHA-BUCH GmbH, Einbeck, Germania
Libro Print on Demand
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Advances in spectroscopy sensors have allowed the acquisition of ever-increasing volumes of data from scenes, either remotely, by air- or space-borne devices, or locally, by hand-held spectrometers or stand-alone cameras. With this boom in the amount of data available has also come a greater need for extracting useful information efficiently and for developing automated methods for novel applications. Traditional approaches to spectral analysis often require a great deal of human effort and prior knowledge, and have difficulty in processing high dimensional data sets provided by new sensors. This book, therefore, provides an alternative approach to select relevant features from hyperspectral data utilizing machine learning to automate the analysis. The methods are developed in the context of two applications: in biomedical imaging and in precision agriculture. The techniques discussed should be useful to graduate students and researchers in computer science and engineering interested in hyperspectral imaging, remote sensing or optimization for high dimensional data.
Editore: VDM Verlag Dr. Müller, 2010
ISBN 10: 363925516XISBN 13: 9783639255164
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
Libro Print on Demand
PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Editore: VDM Verlag Dr. Müller, 2010
ISBN 10: 363925516XISBN 13: 9783639255164
Da: moluna, Greven, Germania
Libro Print on Demand
Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Monteiro SildomarSildomar Monteiro is Research Fellow in the Australian Centre for Field Robotics at Sydney University. He was awarded a JSPS postdoctoral fellowship in 2007. His research areas include machine learning, computer visi.
Editore: VDM Verlag Dr. Müller, 2010
ISBN 10: 363925516XISBN 13: 9783639255164
Da: Mispah books, Redhill, SURRE, Regno Unito
Libro
Paperback. Condizione: Like New. Like New. book.